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INDONESIA
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri
Published by Universitas Kristen Petra Surabaya
ISSN : 14112485     EISSN : 20877439     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal Teknik Industri aims to: Promote a comprehensive approach to the application of industrial engineering in industries as well as incorporating viewpoints of different disciplines in industrial engineering. Strengthen academic exchange with other institutions. Encourage scientist, practicing engineers, and others to conduct research and other similar activities.
Arjuna Subject : -
Articles 7 Documents
 1 
Search results for , issue "Vol. 24 No. 2 (2022): Dec 2022" : 7 Documents clear
The Effect of SNI 6729 : 2016 on Organic Vegetables Purchase Intention and Purchase Behavior (Case Study : PT Rumah Roti Indonesia) Imanuella Indah Nugroho; Fakhrina Fahma; Retno Wulan Damayanti
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 2 (2022): Dec 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.2.95-104

Abstract

At a time when the people's increasing demand for organic vegetables can be an opportunity for PT Rumah Roti Indonesia to expand its market beyond the scope of PT Rumah Roti Indonesia. Organic certification is one way to expand the market. The aim of this study is analyze the effect of SNI 6729: 2016 certification on purchase intention and purchase behavior of organic vegetables in Indonesia so that PT Rumah Roti can take the right decision. To see the effect of SNI 6729 : 2016, this study uses the Theory of Planned Behavior model. Data processing was used in the PLS-SEM method. The results of this study prove that the variables perceived behavioral control, subjective norms, and perceived quality have a significant effect on purchase intention in organic vegetables and awareness has a significant effect on moderating the relationship between purchase intention and purchase behavior. In addition, it was found that purchase intention has a significant effect on purchase behavior. These results indicate that there is an influence of SNI 6729 : 2016 on purchase intention and purchase behavior of organic vegetables.
Machine Learning models for the Cognitive Stress Detection Using Heart Rate Variability Signals Nailul Izzah; Auditya Purwandini Sutarto; Mohamad Hariyadi
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 2 (2022): Dec 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.2.83-94

Abstract

Cognitive domains play a critical role in daily functioning. The prediction of cognitive stress state is important to better monitor work performance. This study aims to explore machine learning models to detect cognitive load or state using heart rate variability (HRV) signals. HRV data were recorded from thirty subjects during rest, two cognitive tasks (d2 Attention and Featuring Switcher task), and recovery. Seven HRV indexes from both time and frequency domains, extracted from raw R-R intervals, were used to identify whether subjects performed cognitive tasks or not. Five classifier models: linear support vector machine (LSVM), kernel SVM radial basis function, k-nearest neighbor (KNN), and random forest (RF), were trained and evaluated using a leave-one-out cross-validation approach. The accuracies and F1-score range from 0.54 to 0.62, with LSVM, showing the best. These acceptable performances indicate the machine learning approach could be used to further distinguish between rest and cognitive state. With the ubiquity of non-invasive and low-cost wearable devices, this finding offers insight to be incorporated into personal work performance monitoring in the digital age.
The Effect of Halal Certification on Logistic Performance and Financial Performance : Case Study: Processed Meat and Cowhide SMEs in Surakarta Calvin William Santosa; Fakhrina Fahma; Retno Wulan Damayanti
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 2 (2022): Dec 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.2.117-128

Abstract

Amid increasingly fierce competition in the food business, halal certification is a source of excellence. Halal certification is now a step businesses can take to increase their successful business performance. This study aims to provide business actors with a deeper understanding of the impact of halal certification on company performance by analyzing the effect of halal certification on logistic performance and financial performance in small and medium-sized enterprises (SMEs) based on processed meat and cowhide in Surakarta. This study is based on a purposive sampling survey of SMEs producing processed meat and cowhide in Surakarta that has obtained halal certification. The PLS-SEM method was used to process the data. This research shows that halal certification has a good and significant impact on the logistical and financial performance of SMEs producing processed meat and cowhide in Surakarta. This founding indicates that halal certification has an impact and may be considered by business actors who have yet to go through the process.
Content Analysis and Its Application with Dynamic Online Content: A Case Study Toong Tjiek Liauw
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 2 (2022): Dec 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.2.105-116

Abstract

Content analysis is a well-established and widely used research method. In its early form, it was used extensively in the quantitative analysis of newspapers, and its applications later evolved to include electronic media such as radio and television. It has recently been applied to digital media, including the Internet. However, the use of content analysis in analyzing online content has been chiefly applied to static content, such as ‘static’ websites, in the early days of the Internet. Studies that involve its use in analyzing dynamic Internet content—for example, content that resides behind databases—are relatively much less common. This article is not written as a research paper per se. This article will instead discuss reflections on the efficacy of content analysis as a research method when applied to dynamic content such as DRs by using a previous study, which has applied content analysis to the dynamic content of digital repositories (DRs), as a case study. The previous study used as the basis for this article had applied content analysis to several DRs using manual counting by the researcher. In the process, several idiosyncrasies in terms of the way institutions populate their DRs with digital objects and the user metadata to facilitate discoverability of those digital objects were encountered that have introduced some ‘complication.’ This article will focus on how content analysis, as a research method, can be adapted to account for those idiosyncrasies to produce better results. This article will also identify the limitations and challenges of content analysis in dynamic online environments and offer some suggested approaches.
A Simulation-based Optimization Approached to Design a Proposed Warehouse Layout on Bicycle Industry Farrel Stefan Sienera; Tanti Octavia; Desi Winoto
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 2 (2022): Dec 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.2.141-150

Abstract

The finished goods must be stored in a warehouse before the items are dispatched. Due to the increasing demand in 2020, there will be an increase in the quantity of items, which will cause the finished goods warehouse at PT X to reach capacity. This issue lengthens the flow through the warehouse and makes it easier for the items to sustain damage. To improve capacity, the firm is building a new finished goods warehouse, and it wants to organize the two warehouses so that the displacement time is as short as possible. This study utilized simulations to calculate the time and dedicated and class-based storage strategies to establish the layout. This study utilized simulations to determine the time and dedicated and class-based storage approaches to establish the layout. According to the findings, the dedicated storage technique has a total displacement distance of 703,952 meters and an average moving duration of 3.37 minutes per pallet. These findings are not as useful as the class-based storage technique, which has 705,961 meters and an average pallet turn time of 3.53 minutes.
Scenario Analysis of Indonesian Ferronickel Supply Chain Resilience with System Dynamics I Anna Tul Munikhah; Ade Yanyan Ramdhani; Aiza Yudha Pratama; Ratih Windu Arini
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 2 (2022): Dec 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.2.129-140

Abstract

This study aims to determine the impact of Indonesian government policies on the supply chain resilience of the ferronickel industry in Indonesia. The existing problem is that the law prohibits nickel ore exports, and the policy of industrial downstream causes delays in the process of nickel processing. The problems happen because Indonesia's nickel industry is still incapable of downstream. As a result, the nickel supply chain faces dynamic and complex events that can disrupt operational activities. At the same time, supply chains need to withstand and recover from disruptions quickly. Therefore, Supply Chain Resilience, which is the ability to survive, adapt, and recover from disruptions to meet customer needs, is needed. This study uses system dynamics to analyze complex and dynamic systems to provide more practical policy advice. The system dynamics model starts by building a conceptual model through a system diagram. Inside the model is a causal loop diagram, then proceeds with developing a quantitative stock flow diagram (SFD) model. Finally, this SFD model operated with several scenarios used as policy suggestions for the Indonesian government.
Front Matter (Cover, Editorial, Table of Content) Jurnal Teknik Industri
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 2 (2022): Dec 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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